Data & Integration Architect

Sr. Data & Integration ArchitectWhat's in It for You?

We are seeking an experienced Data & Integration Architect to design, build, and maintain robust marketing data pipelines. This role focuses on integrating platforms such as Sitecore and Salesforce, ensuring strong data governance, and enabling AI-driven analytics to support personalized buyer journeys.

Key Responsibilities Data Engineering & Integration

• Design, build, and maintain data pipelines to ingest, transform, and model marketing and engagement data using Databricks or similar environments.

• Develop integrations across Sitecore, Google Marketing Platform, 6sense, LinkedIn, Salesforce, and other digital platforms to provide end-to-end visibility into the buyer journey.

• Partner with IT and data teams to align marketing data with enterprise standards for governance, quality, and security.

• Create unified data models that connect engagement data, content consumption, account signals, and opportunity data to support analytics and journey-based insights.

Data Readiness

• Collaborate with the MarTech team to ensure marketing platforms are configured and documented to support analytics and AI use cases.

• Define and communicate data capture standards, tagging requirements, and event tracking structures for complete buyer journey visibility.

• Create and maintain data dictionaries, taxonomies, and schemas to ensure consistent and reliable data for analytics.

• Serve as the primary liaison between Analytics and MarTech teams, translating analytical and modeling requirements into platform configuration and integration needs.

• Conduct data audits to validate alignment of critical events, attributes, and identifiers across systems.

Web & Personalization Data

• Define and maintain frameworks for capturing and structuring web behavior, personalization events, and user interactions within Sitecore and related systems.

• Ensure engagement signals and content interactions are linked to known accounts and individuals for journey analysis and personalization.

• Support analytics teams in leveraging web data to identify buying-stage patterns and trigger tailored recommendations.

AI & Journey Intelligence Enablement

• Partner with marketing AI specialists to ensure data structures support advanced use cases, including:

  • Buyer journey stage prediction

  • Next-best-action and next-best-content modeling

  • Audience and account-level engagement scoring

  • Personalized experience and content recommendation frameworks

• Design and maintain data pipelines that make behavioral and engagement data AI-ready.

• Ensure all marketing data is connected and contextualized for AI-driven insights.

• Evaluate and implement emerging technologies that enhance marketing's ability to predict, personalize, and optimize engagement.

Educational Qualifications

• Engineering Degree: BE / ME / BTech / MTech / BSc / MSc

• Technical certifications in multiple technologies are desirable

Skills Mandatory Skills

• Strong experience in data pipeline development using Databricks, Spark, SQL, and Python

• Hands-on experience with Google Analytics, Google Sense, Sitecore Personalization, Azure Data Factory, and Databricks

• Expertise in integrating marketing platforms such as Sitecore, Google Marketing Platform, Salesforce, LinkedIn, and 6sense

• Solid understanding of data modeling, governance, and security standards

• Knowledge of digital marketing data structures, tagging, and event tracking

• Proven ability to collaborate with IT and Analytics teams for data alignment

Good-to-Have Skills

• Familiarity with cloud platforms such as Azure, AWS, or GCP

• Understanding of AI/ML use cases in marketing, including journey prediction and personalization

• Experience with web analytics and personalization frameworks, particularly Sitecore

• Skills in data visualization tools such as Power BI or Tableau

• Awareness of emerging technologies like Customer Data Platforms (CDPs) and identity resolution